Pathway Analysis using Random Forests specifications

Information


Unique identifier OMICS_24893
Name Pathway Analysis using Random Forests
Alternative name pathwayRF
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Hongyu Zhao <>
  • person_outline Herbert Pang <>

Publication for Pathway Analysis using Random Forests

Pathway Analysis using Random Forests institution(s)
Division of Biostatistics, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT, USA; W. M. Keck Biotechnology Resource Laboratory, Yale University School of Medicine, New Haven, CT, USA; Boyer Center for Molecular Medicine, Yale University School of Medicine, New Haven, CT, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA; Pfizer Groton Laboratories, Safety Sciences, Groton, CT, USA
Pathway Analysis using Random Forests funding source(s)
Supported by a grant from Pfizer.

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